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Khanh Nguyen
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Publications
- 2023
- [c48]Son Thai, Hop Bui, Huy Vu, Khanh Nguyen, Tin Huynh, Kiem Hoang:
Enhancing Face Anti-Spoofing with Swin Transformer-driven Multi-stage Pipeline. SoICT 2023: 40-47 - [c47]Nhat Le, Khanh Nguyen, Quang D. Tran, Erman Tjiputra, Bac Le, Anh Nguyen:
Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. WACV 2023: 6077-6086 - 2022
- [j12]Dieu Vu, Khang Truong, Khanh Nguyen, Ngo Van Linh, Khoat Than:
Revisiting Supervised Word Embeddings. J. Inf. Sci. Eng. 38(2): 413-427 (2022) - [j11]Trung Le, Khanh Nguyen, Dinh Q. Phung:
Improving kernel online learning with a snapshot memory. Mach. Learn. 111(3): 997-1018 (2022) - [j10]Nhat Le, Khanh Nguyen, Anh Nguyen, Bac Le:
Global-local attention for emotion recognition. Neural Comput. Appl. 34(24): 21625-21639 (2022) - [j9]Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Geoffrey I. Webb, Dinh Phung:
Robust Variational Learning for Multiclass Kernel Models With Stein Refinement. IEEE Trans. Knowl. Data Eng. 34(9): 4425-4438 (2022) - [i19]Nhat Le, Khanh Nguyen, Quang D. Tran, Erman Tjiputra, Bac Le, Anh Nguyen:
Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. CoRR abs/2209.10448 (2022) - 2021
- [c44]Cuong Nguyen Manh, Hieu Pham Minh, Hoang Do Van, Khanh Nguyen Quoc, Khanh Nguyen, Manh Tran Van, Anh Phan:
Linguistic-based Augmentation for Enhancing Vietnamese Sentiment Analysis. RIVF 2021: 1-6 - [i15]Nhat Le, Khanh Nguyen, Anh Nguyen, Bac Le:
Global-Local Attention for Emotion Recognition. CoRR abs/2111.04129 (2021) - 2020
- [c43]Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung:
Code Pointer Network for Binary Function Scope Identification. IJCNN 2020: 1-7 - [c42]Minh-Triet Tran, Thanh-An Nguyen, Quoc-Cuong Tran, Mai-Khiem Tran, Khanh Nguyen, Van-Tu Ninh, Tu-Khiem Le, Hoang-Phuc Trang-Trung, Hoang-Anh Le, Hai-Dang Nguyen, Trong-Le Do, Viet-Khoa Vo-Ho, Cathal Gurrin:
FIRST - Flexible Interactive Retrieval SysTem for Visual Lifelog Exploration at LSC 2020. LSC@ICMR 2020: 67-72 - [c41]Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. PAKDD (2) 2020: 164-177 - [c40]Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Code Action Network for Binary Function Scope Identification. PAKDD (1) 2020: 712-725 - 2019
- [j8]Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
GoGP: scalable geometric-based Gaussian process for online regression. Knowl. Inf. Syst. 60(1): 197-226 (2019) - [c36]Nguyen Tan Cam, Toan Nguyen, Khanh Nguyen, Tuan A. Nguyen, Van-Hau Pham:
Detect Malware in Android Firmware Based on Distributed Network Environment. ICCT 2019: 1566-1570 - [c34]Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung:
Deep Domain Adaptation for Vulnerable Code Function Identification. IJCNN 2019: 1-8 - 2018
- [c33]Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung:
Clustering Induced Kernel Learning. ACML 2018: 129-144 - [c32]Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung:
Bayesian Multi-Hyperplane Machine for Pattern Recognition. ICPR 2018: 609-614 - [c31]Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb:
Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data. KDD 2018: 2003-2011 - [i9]Trung Le, Khanh Nguyen, Dinh Q. Phung:
Theoretical Perspective of Deep Domain Adaptation. CoRR abs/1811.06199 (2018) - 2017
- [c29]Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
GoGP: Fast Online Regression with Gaussian Processes. ICDM 2017: 257-266 - [i4]Trung Le, Khanh Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
Analogical-based Bayesian Optimization. CoRR abs/1709.06390 (2017) - 2016
- [j6]Duy Nguyen, Vinh Lai, Khanh Nguyen, Trung Le:
Mixture of hyperspheres for novelty detection. Vietnam. J. Comput. Sci. 3(4): 223-233 (2016) - [c26]Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
Multiple Kernel Learning with Data Augmentation. ACML 2016: 49-64 - [c24]Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran:
Fast Kernel-based method for anomaly detection. IJCNN 2016: 3211-3217 - [c23]Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Q. Phung:
Sparse Adaptive Multi-hyperplane Machine. PAKDD (1) 2016: 27-39 - [i3]Trung Le, Khanh Nguyen, Van Nguyen, Vu Nguyen, Dinh Q. Phung:
Scalable Support Vector Machine for Semi-supervised Learning. CoRR abs/1606.06793 (2016) - 2015
- [c19]Khanh Nguyen, Trung Le, Vinh Lai, Duy Nguyen, Dat Tran, Wanli Ma:
Least square Support Vector Machine for large-scale dataset. IJCNN 2015: 1-8 - [c18]Trung Le, Dinh Q. Phung, Khanh Nguyen, Svetha Venkatesh:
Fast One-Class Support Vector Machine for Novelty Detection. PAKDD (2) 2015: 189-200 - 2013
- [c16]Trung Le, Dat Tran, Tien Tran, Khanh Nguyen, Wanli Ma:
Fuzzy entropy semi-supervised support vector data description. IJCNN 2013: 1-5 - 2009
- [j1]Raul Cernea, Long Pham, Farookh Moogat, Siu Lung Chan, Binh Le, Yan Li, Shouchang Tsao, Taiyuan Tseng, Khanh Nguyen, Jason Li, Jayson Hu, Jonghak Yuh, Cynthia Hsu, Fanglin Zhang, Teruhiko Kamei, Hiroaki Nasu, Phil Kliza, Khin Htoo, Jeffrey Lutze, Yingda Dong, Masaaki Higashitani, Junhui Yang, Hung-Szu Lin, Vamshi Sakhamuri, Alan Li, Feng Pan, Sridhar Yadala, Subodh Taigor, Kishan Pradhan, James Lan, Jim Chan, Takumi Abe, Yasuyuki Fukuda, Hideo Mukai, Koichi Kawakami, Connie Liang, Tommy Ip, Shu-Fen Chang, Jaggi Lakshmipathi, Sharon Huynh, Dimitris Pantelakis, Mehrdad Mofidi, Khandker Quader:
A 34 MB/s MLC Write Throughput 16 Gb NAND With All Bit Line Architecture on 56 nm Technology. IEEE J. Solid State Circuits 44(1): 186-194 (2009) - [c7]Cuong Trinh, Noboru Shibata, Takeshi Nakano, Mikio Ogawa, Jumpei Sato, Yoshikazu Takeyama, Katsuaki Isobe, Binh Le, Farookh Moogat, Nima Mokhlesi, Kenji Kozakai, Patrick Hong, Teruhiko Kamei, Kiyoaki Iwasa, J. Nakai, Takahiro Shimizu, Mitsuaki Honma, Shintaro Sakai, Toshimasa Kawaai, Satoru Hoshi, Jonghak Yuh, Cynthia Hsu, Taiyuan Tseng, Jason Li, Jayson Hu, M. Liu, Shahzad Khalid, J. Chen, Mitsuyuki Watanabe, Hung-Szu Lin, Junhui Yang, K. McKay, Khanh Nguyen, Tuan Pham, Y. Matsuda, K. Nakamura, Kazunori Kanebako, Susumu Yoshikawa, W. Igarashi, Atsushi Inoue, T. Takahashi, Yukio Komatsu, C. Suzuki, Kousuke Kanazawa, Masaaki Higashitani, Seungpil Lee, T. Murai, K. Nguyen, James Lan, Sharon Huynh, Mark Murin, Mark Shlick, Menahem Lasser, Raul Cernea, Mehrdad Mofidi, K. Schuegraf, Khandker Quader:
A 5.6MB/s 64Gb 4b/Cell NAND Flash memory in 43nm CMOS. ISSCC 2009: 246-247 - 2008
- [c3]Raul Cernea, Long Pham, Farookh Moogat, Siu Lung Chan, Binh Le, Yan Li, Shouchang Tsao, Taiyuan Tseng, Khanh Nguyen, Jason Li, Jayson Hu, Jong Park, Cynthia Hsu, Fanglin Zhang, Teruhiko Kamei, Hiroaki Nasu, Phil Kliza, Khin Htoo, Jeffery Lutze, Yingda Dong, Masaaki Higashitani, Junhui Yang, Hung-Szu Lin, Vamshi Sakhamuri, Alan Li, Feng Pan, Sridhar Yadala, Subodh Taigor, Kishan Pradhan, James Lan, Jim Chan, Takumi Abe, Yasuyuki Fukuda, Hideo Mukai, Koichi Kawakami, Connie Liang, Tommy Ip, Shu-Fen Chang, Jaggi Lakshmipathi, Sharon Huynh, Dimitris Pantelakis, Mehrdad Mofidi, Khandker Quader:
A 34MB/s-Program-Throughput 16Gb MLC NAND with All-Bitline Architecture in 56nm. ISSCC 2008: 420-421
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